EXCITING INSIGHTS INTO ROHDE & SCHWARZ

Our colleagues provide insider information about:

• Daily adventures and challenges
• Our passionate team
• The technologies behind the innovative projects and solutions

YOUR QUALIFICATIONS

• A university degree in Computer Science, Software Engineering, or a related field is required
• Extensive experience in C++ programming with knowledge of compilers and profilers
• A deep understanding of software architecture principles, with the ability to design scalable and maintainable systems. Familiarity with CPU architecture is a valuable asset
• Practical experience in embedded programming, particularly in high-performance computing environments
• Solid understanding of communication protocols, with a preference for expertise in wireless protocols (e.g., LTE, 5G, Wi-Fi)
• Excellent command of written and spoken English is required

INTERESTED?

We are looking forward to receiving your application! Ideally, you should apply online with the reference number. If you have any questions, please feel free to contact your recruiting contact via LinkedIn or XING.
Equal opportunities are important to us. We are looking forward to receiving your application regardless of gender, nationality, ethnic and social origin, religion, ideology, disability, age as well as sexual orientation and identity.
Reference number: 10455
Recruiting contact: Bettina Bauer
Rohde & Schwarz is a global technology company with approximately 14,000 employees and three divisions: Test & Measurement, Technology Systems and Networks & Cybersecurity. For 90 years, the company has been developing cutting-edge technology, pushing the boundaries of what is technically possible and enabling customers from various sectors such as business, government and public authorities to maintain their technological sovereignty.

• Design and implement software communication framework for emerging wireless protocol standards, incl. 6G
• Optimize performance of a large C++ codebase for specific CPU architectures by exploring efficiency improvements
• Collaborate with global teams to propose and drive data driven improvements and methodologies
• Engage in continuous learning to foster innovation and apply new ideas to enhance processes and solutions